• DocumentCode
    3357294
  • Title

    Neurocontrol: Methods, models and technologies for manipulating dynamics in the brain

  • Author

    Ritt, Jason T. ; ShiNung Ching

  • Author_Institution
    Dept. of Biomed. Eng., Boston Univ., Boston, MA, USA
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    3765
  • Lastpage
    3780
  • Abstract
    This paper accompanies a tutorial session at the 2015 American Control Conference, and provides a survey of emerging technologies and research problems at the boundary between systems engineering, neuroscience and neural medicine. Emphasis will be placed on both recent theoretical developments - for example, system identification and controllability in neuronal networks - and real-world constraints in applications such as clinical deep brain stimulation, or optical stimulation in experimental neuroscience. Discussion will extend to how these constrains may necessitate the development of entirely new paradigms in systems and control theory that respond to the unprecedented challenges facing neural scientists and engineers.
  • Keywords
    brain; controllability; identification; neurocontrollers; brain dynamics manipulation; controllability; neurocontrol; neuronal network; system identification; Brain models; Electric potential; Electrodes; Mathematical model; Nerve fibers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7171915
  • Filename
    7171915